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Understanding mobile users' information adoption behaviour: an extension of the information adoption model

Abdulaziz Elwalda (Department of Business Management, Misurata University, Misurata, Libya)
İsmail Erkan (Business School, Izmir Katip Celebi University, Izmir, Turkey)
Mushfiqur Rahman (University of Wales Trinity Saint David, Carmarthen, UK)
Deniz Zeren (Cukurova University, Adana, Turkey)

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 13 December 2021

Issue publication date: 24 November 2022

1082

Abstract

Purpose

Mobile messaging applications (MMAs) have surpassed top social media platforms. Recent and rapid use of MMAs has made it extremely difficult to ignore the existence of customer-to-customer (C2C) mobile information. This study, therefore, aims to expand the knowledge of customers' adoption behaviour of such information.

Design/methodology/approach

Through applying and utilizing social support theory (SST) and the information adoption model (IAM), this study introduces a holistic theoretical model, explaining customers' adoption of information derived from MMAs and exploring the antecedents of IAM. Based on the data collected from 305 UK MMA users, this study empirically tests the research model using structural equation modelling estimation.

Findings

The results of this study reveal that social support is a key antecedent of information quality and credibility and support IAM in terms of its ability to explain MMAs' information adoption.

Practical implications

The insights are valuable for businesses and marketers to understand customers' mobile communications and be socially support-oriented while developing marketing communication strategies.

Originality/value

The study integrates SST and IAM to improve the understanding of customers' information adoption behaviour. It is the first attempt that establishes that social support is a key antecedent of IAM.

Keywords

Citation

Elwalda, A., Erkan, İ., Rahman, M. and Zeren, D. (2022), "Understanding mobile users' information adoption behaviour: an extension of the information adoption model", Journal of Enterprise Information Management, Vol. 35 No. 6, pp. 1789-1811. https://doi.org/10.1108/JEIM-04-2020-0129

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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